There is a newer version of the record available.

Published December 4, 2019 | Version v0

DESED_real

  • 1. Universite de Lorraine, CNRS, Inria, Loria, F-54000 Nancy, France
  • 2. Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, United States
  • 3. Adobe Research, San Francisco, CA, United States

Description

Link to the associated github repository: https://github.com/turpaultn/Desed

Link to the paper: https://hal.inria.fr/hal-02160855.

Domestic Environment Sound Event Detection (DESED).

Description
This dataset is the real part of the DESED dataset. Contains metadata for training and evaluation.
Contains metadata and audio files for evaluation (not in this first version, will be updated soon ...)

There is the material to:

  • Download the subset of Audioset used in DCASE 2019 task 4.

Files

Files (270.3 kB)

Name Size Download all
md5:962f15f460a9b285d36144b8337bca47
270.3 kB Download

Additional details

Related works

Is supplement to
Conference paper: https://hal.inria.fr/hal-02160855v2 (URL)